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4D flow MRI hemodynamic quantification of pediatric patients with multi-site, multi-vender, and multi-channel machine learning segmentation

Author:Takashi Fujiwara  Haben Berhane  Michael Scott  Zachary King  Michal Schafer  Brian Fonseca  Joshua Robinson  Cynthia Rigsby  Lorna Browne  Michael Markl  Alex Barker  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3267  

Room Session:Concurrent 6  

Institution:Children's Hospital Colorado, University of Colorado Anschutz Medical Campus  Lurie Children's Hospital of Chicago  Northwestern University  University of Colorado Anschutz Medical Campus  

Automatic Prediction of MGMT and IDH Genotype for Gliomas from MR Images via Multi-task Deep Learning Network

Author:Xiaoyuan Hou  Hui Zhang  Yan Tan  Zhenchao Tang  Jie Tian  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3284  

Room Session:Concurrent 6  

Institution:Beijing Advanced Innovation Center for Big Data-Based Precision Medicine(BDBPM) ,Beihang University,100083  Department of Radiology, First Clinical Medical College, Shanxi Medical University,030001  Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences,100190  

Automatic segmentation of arterial vessel wall on undersampled MR image using deep learning

Author:Shuai Shen  Xiong Yang  Jin Fang  Guihua Jiang  Shuheng Zhang  Yanqun Teng  Xiaomin Ren  Lele Zhao  Jiayu Zhu  Qiang He  Hairong Zheng  Xin Liu  Na Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3269  

Room Session:Concurrent 6  

Institution:Department of Radiology, Guangdong Second Provincial General Hospital  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Shanghai United Imaging Healthcare Co., Ltd.  College of Software, Xinjiang University  Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Automatic Vascular Function Estimation using Deep Learning for Dynamic Contrast-enhanced Magnetic Resonance Imaging

Author:Wallace Souza Loos  Roberto Souza  Linda Andersen  R. Marc Lebel  Richard Frayne  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3270  

Room Session:Concurrent 6  

Institution:Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary  Seaman Family MR Research Centre, Foothills Medical Centre  Electrical and Computer Engineering, Hotchkiss Brain Institute, University of Calgary  General Electric Healthcare  

Delineating parkinsonian disorders using T1-weighted MRI based radiomics

Author:Priyanka Tupe Waghmare  Archith Rajan  Shweta Prasad  Jitender Saini  Pramod Kumar Pal  Madhura Ingalhalikar  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3268  

Room Session:Concurrent 6  

Institution:National Institute of Mental Health & Neurosciences  Symbiosis Center for Medical Image Analysis and Symbiosis Institute of Technology  Symbiosis Centre for Medical Image Analysis  Symbiosis Institute of Technology  

Distribution indices of QSM values in M1 enable to classify ALS patients and healthy controls

Author:Mauro Costagli  Graziella Donatelli  Paolo Cecchi  Gabriele Siciliano  Mirco Cosottini  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3266  

Room Session:Concurrent 6  

Institution:Azienda Ospedaliero Universitaria Pisana  IMAGO 7 Research Foundation  University of Genova  University of Pisa  IRCCS Stella Maris  

Early prediction of progression free survival and overall survival of patients with glioblastoma using machine learning and multiparametric MRI

Author:Nate Tran  Tracy Luks  Devika Nair  Angela Jakary  Yan Li  Janine Lupo  Javier Villanueva-Meyer  Nicholas Butowski  Jennifer Clarke  Susan Chang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3273  

Room Session:Concurrent 6  

Institution:University of California, San Francisco  UCSF/UC Berkeley Graduate Program in Bioengineering  

EVALUATION OF A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATED SEGMENTATION OF LOW-GRADE GLIOMAS

Author:Margaux Verdier  Justine Belko  Jeremy Deverdun  Nicolas Menjot de Champfleur  Thomas Troalen  Bénédicte Maréchal  Emmanuelle Le Bars  Till Huelnhagen  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3282  

Room Session:Concurrent 6  

Institution:Advanced Clinical Imaging Technology, Siemens Healthcare AG  I2FH , Neuroradiology, CHU Montpellier, Montpellier University, France  Siemens Healthcare  Laboratoire Charles Coulomb, University of Montpellier, France  LTS5, Ecole Polytechnique Fédérale de Lausanne  Radiology Department, Lausanne University Hospital and University of Lausanne, Switzerland  

Exploring Brain Regions Involved in Working Memory using Interpretable Deep Learning

Author:Mario Serrano-Sosa  Jared Van Snellenberg  Chuan Huang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3274  

Room Session:Concurrent 6  

Institution:Renaissance School of Medicine at Stony Brook University  Stony Brook University  

Improved Outcome prediction in mild Traumatic Brain Injury using Latent Feature Extraction from Volumetric MRI

Author:Sanjay Purushotham  Ashwathy Sureshkumar  Li Jiang  Shiyu Tang  Steven Roys  Chandler Rhodes  Rao Gullapalli  Jiachen Zhuo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3276  

Room Session:Concurrent 6  

Institution:University of Maryland School of Medicine  University of Maryland, Baltimore County  Walter Reed National Military Medical Center  

IMPROVING THE CONTRAST OF CEREBRAL MICROBLEEDS ON T2*-WEIGHTED IMAGES USING DEEP LEARNING

Author:Ozan Genc  Sivakami Avadiappan  Yicheng Chen  Christopher Hess  Janine Lupo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3283  

Room Session:Concurrent 6  

Institution:Facebook Inc.  University of California San Francisco  

MRI-ASL Perfusion patterns may predict deep brain stimulation outcome in de novo Parkinson's Disease

Author:Hanyu Wei  Le He  Rongsong Zhou  Shuo Chen  Miaoqi Zhang  Wenwen Chen  Xuesong Li  Yu Ma  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3278  

Room Session:Concurrent 6  

Institution:School of Computer Science and Technology, Beijing Institute of Technology  Tsinghua University  Tsinghua University Yuquan Hospital  

Multi-layer backpropagation of classification information with Grad-CAM to enhance the interpretation of deep learning models

Author:Daphne Hong  Yunyan Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3275  

Room Session:Concurrent 6  

Institution:University of Calgary  

A Nomogram Strategy for Identifying the Subclassification of IDH1 Mutation and ATRX Expression Loss in in Low-Grade Gliomas

Author:Shiman Wu  Xi Zhang  Zhenwei Yao  YONG ZHANG  Tianming Qiu  Yan Ren  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3272  

Room Session:Concurrent 6  

Institution:Fourth Military Medical University  GE Healthcare  Huashan Hospital, Fudan University  

Pattern-based features extraction algorithm in the diagnosis of neurodegenerative diseases from diffusion MRI

Author:Sung-han Lin  Chih-Chien Tsai  Yi-Chun Chen  Jiun-Jie Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3271  

Room Session:Concurrent 6  

Institution:Chang Gung Memorial Hospital Linkou Medical Center  Chang-Gung University  Chang Gung University  

Prediction of iron rim lesions in multiple sclerosis using convolutional neural networks and multi-contrast 7T MRI data

Author:René Schranzer  Steffen Bollmann  Simon Hametner  Christian Menard  Siegfried Trattnig  Fritz Leutmezer  Paulus Stefan Rommer  Thomas Berger  Assunta Dal-Bianco  Günther Grabner  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3277  

Room Session:Concurrent 6  

Institution:Carinthia University of Applied Sciences  High Field Magnetic Resonance Centre  Medical University of Vienna  The University of Queensland  

Stacked hybrid learning U-NET for segmentation of multiple articulators in speech MRI

Author:SUBIN ERATTAKULANGARA  KARTHIKA KELAT  Junjie Liu  Sajan Lingala  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3280  

Room Session:Concurrent 6  

Institution:Government Engineering College Kozhikode  University of Iowa  

Stratifying ischaemic stroke patients across 3 treatment windows using T2 relaxation times, ordinal regression and cumulative probabilities

Author:Bryony McGarry  Elizabeth Hunter  Robin Damion  Michael Knight  Philip Clatworthy  George Harston  Keith Muir  Risto Kauppinen  John Kelleher  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3265  

Room Session:Concurrent 6  

Institution:North Bristol NHS Trust  Technological University Dublin  University of Bristol  University of Glasgow  University of Oxford  

Use scout models for effective dimension reduction and feature selection in radiomics study

Author:Yibo Dan  Hongyue Tao  Yida Wang  Chengxiu Zhang  Chenglong Wang  Shuang Chen  Guang Yang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3281  

Room Session:Concurrent 6  

Institution:Department of Radiology, Huashan Hospital, Fudan University  Shanghai Key Laboratory of Magnetic Resonance, East China Normal University  

Using MRI and Radiomics to Predict Pain in a Cohort of Trigeminal Neuralgia Patients Treated With Radiosurgery

Author:Kellen Mulford  Sean Moen  Andrew Grande  Donald Nixdorf  Pierre-Francois Van de Moortele  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3279  

Room Session:Concurrent 6  

Institution:University of Minnesota